The examples in this repository are support to the Spark in Action, 2nd edition book by Jean-Georges Perrin and published by Manning. Find out more about the book on Manning's website.
Welcome to Spark in Action, 2e, chapter 15. This chapter is about aggregates.
This code is designed to work with Apache Spark v3.0.1.
Datasets can be downloaded from:
- Historical daily attendance by school from 2006 to now, from the open data platform from the city of New York at https://data.cityofnewyork.us.
Each chapter has one or more labs. Labs are examples used for teaching in the book(https://www.manning.com/books/spark-in-action-second-edition?a_aid=jgp). You are encouraged to take ownership of the code and modify it, experiment with it, hence the use of the term lab.
The OrderStatisticsApp application does the following:
- It acquires a session (a
SparkSession). - It asks Spark to load (ingest) a dataset in CSV format.
- Spark stores the contents in a dataframe, do some transformations to observe Orders analytics.
TBD
TBD
TBD
TBD
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TBD
For information on running the Java lab, see chapter 15 in Spark in Action, 2nd edition.
Prerequisites:
You will need:
git.- Apache Spark (please refer Appendix K: Installing Spark in production and a few tips).
Step by step direction for lab #100. You will need to adapt some steps for the other labs.
-
Clone this project
git clone https://github.com/jgperrin/net.jgp.books.spark.ch15
-
Go to the lab in the Python directory
cd net.jgp.books.spark.ch15/src/main/python/lab100_orders/
-
Execute the following spark-submit command to create a jar file to our this application
spark-submit orderStatisticsApp.py
NOTE:- If we want to run PostgreSQL application, please do first first step as mentioned above and do the following two steps:
-
Go to the lab in the Python directory
cd net.jgp.books.spark.ch15/src/main/python/lab910_nyc_to_postgresql/
-
Execute the following spark-submit command to create a jar file to our this application
spark-submit --packages org.postgresql:postgresql:42.1.4 newYorkSchoolsToPostgreSqlApp.py
Prerequisites:
Prerequisites:
You will need:
git.- Apache Spark (please refer Appendix K: Installing Spark in production and a few tips).
Step by step direction for lab #100. You will need to adapt some steps for the other labs.
-
Clone this project
git clone https://github.com/jgperrin/net.jgp.books.spark.ch15
-
cd net.jgp.books.spark.ch15
-
Package application using sbt command
sbt clean assembly
-
Run Spark/Scala application using spark-submit command as shown below:
spark-submit --class net.jgp.books.spark.ch15.lab100_orders.OrderStatisticsScalaApp target/scala-2.12/SparkInAction2-Chapter15-assembly-1.0.0.jar
NOTE:- If we want to run PostgreSQL application, please do first three steps as mentioned above and do the following two steps:
-
Run Spark/Scala application using spark-submit command as shown below:
spark-submit --packages org.postgresql:postgresql:42.1.4 --class net.jgp.books.spark.ch15.lab910_nyc_to_postgresql.NewYorkSchoolsToPostgreSqlScalaApplication target/scala-2.12/SparkInAction2-Chapter15-assembly-1.0.0.jar
Notes:
- [Java] Due to renaming the packages to match more closely Java standards, this project is not in sync with the book's MEAP prior to v10 (published in April 2019).
- [Scala, Python] As of MEAP v14, we have introduced Scala and Python examples (published in October 2019).
Follow me on Twitter to get updates about the book and Apache Spark: @jgperrin. Join the book's community on Facebook or in Manning's community site.